​[[{“value”:” With a multitude of articles, videos, audio recordings, and other media created daily across news media companies, readers of all types—individual consumers, corporate subscribers, and more—often find it difficult to find news content that is most relevant to them. Delivering personalized news and experiences… Read More »Build a news recommender application with Amazon Personalize Bala Krishnamoorthy AWS Machine Learning Blog

​[[{“value”:” “The economic problem of society…is a problem of the utilization of knowledge which is not given to anyone in its totality.” —Friedrich A. Hayek, “The Use of Knowledge in Society” Silicon Valley venture capitalists and many entrepreneurs espouse libertarian values. In practice, they subscribe… Read More »AI Has an Uber Problem Tim O’Reilly AI & ML – Radar

​[[{“value”:” This is a guest post co-written with Tamir Rubinsky and Aviad Aranias from Nielsen Sports. Nielsen Sports shapes the world’s media and content as a global leader in audience insights, data, and analytics. Through our understanding of people and their behaviors across all channels… Read More »Nielsen Sports sees 75% cost reduction in video analysis with Amazon SageMaker multi-model endpoints Eitan Sela AWS Machine Learning Blog

​ AI Product & Marketing Experiments Continue reading on Becoming Human: Artificial Intelligence Magazine »  AI Product & Marketing ExperimentsContinue reading on Becoming Human: Artificial Intelligence Magazine »  Read More ai-agent, llm, ai, ai-as-a-service, ai-marketing 

​[[{“value”:” The field of software development is evolving rapidly, and the integration of artificial intelligence (AI) with coding practices is poised to transform the way developers work on their projects. Against this backdrop, there is a new project called Plandex that aims to simplify the… Read More »Meet Plandex: An Open-Source Terminal-based AI Coding Engine for Complex Tasks Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The goal of recommender systems is to predict user preferences based on historical data. Mainly, they are designed in sequential pipelines and require lots of data to train different sub-systems, making it hard to scale to new domains. Recently, Large Language Models (LLMs)  such… Read More »UniLLMRec: An End-to-End LLM-Centered Recommendation Framework to Execute Multi-Stage Recommendation Tasks Through Chain-of-Recommendations Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Deploying machine learning models efficiently is crucial for various applications. However, traditional frameworks like PyTorch come with their own set of challenges. They are large, making instance creation on a cluster slow, and their reliance on Python can cause performance issues due to overhead… Read More »Meet Candle: A Minimalist Machine Learning Framework for Rust that Focuses on Performance (Including GPU Support) and Ease of Use Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In an era when artificial intelligence (AI) is reshaping industries, OctoAI Inc. has made a significant leap by launching OctoStack, a software platform designed to power AI inference environments within enterprises. This new platform represents a pivotal shift for companies looking to host AI… Read More »OctoAI Introduces OctoStack: Redefining Efficiency and Privacy in AI Applications Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In today’s world, where artificial intelligence is rapidly advancing, Vision Language Models (VLMs) have emerged as a game-changer, pushing the boundaries of machine learning and enabling seamless integration of visual and textual understanding. However, as these models become more powerful, concerns about their reliability… Read More »This AI Paper Introduces a Novel and Significant Challenge for Vision Language Models (VLMs) Termed Unsolvable Problem Detection (UPD) Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Safety tuning is important for ensuring that advanced Large Language Models (LLMs) are aligned with human values and safe to deploy. Current LLMs, including those tuned for safety and alignment, are susceptible to jailbreaking. Existing guardrails are shown to be fragile. Even customizing models… Read More »Can Benign Data Undermine AI Safety? This Paper from Princeton University Explores the Paradox of Machine Learning Fine-Tuning Mohammad Asjad Artificial Intelligence Category – MarkTechPost